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148
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UAI
1997
15 years 4 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
190
Voted
SIGMOD
2012
ACM
212views Database» more  SIGMOD 2012»
13 years 6 months ago
Local structure and determinism in probabilistic databases
While extensive work has been done on evaluating queries over tuple-independent probabilistic databases, query evaluation over correlated data has received much less attention eve...
Theodoros Rekatsinas, Amol Deshpande, Lise Getoor
205
Voted
CVPR
2012
IEEE
13 years 6 months ago
Online robust image alignment via iterative convex optimization
In this paper we study the problem of online aligning a newly arrived image to previously well-aligned images. Inspired by recent advances in batch image alignment using low rank ...
Yi Wu, Bin Shen, Haibin Ling
WSC
2000
15 years 4 months ago
Improved decision processes through simultaneous simulation and time dilation
Simulation models are often not used to their full potential in the decision-making process. The default simulation strategy of simple serial replication of fixed length runs mean...
Paul Hyden, Lee Schruben
140
Voted
TSP
2008
151views more  TSP 2008»
15 years 3 months ago
Convergence Analysis of Reweighted Sum-Product Algorithms
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
Tanya Roosta, Martin J. Wainwright, Shankar S. Sas...